Tabitha Lieberman, SVP, Clinical & Revenue Cycle Applications on Sharing Providence Leadership at UGM
We were able to share a little bit about the hard work you’ve all done at UGM. It was a packed room — lots of folks pretty excited to hear about our journey. As they say, imitation is the sincerest form of flattery, and Epic has taken our work and created a playbook, particularly around our conversion work. Our data conversions is some of the most complex and most comprehensive any system has ever done. When you’re doing an “Epic to Epic” move, it’s really hard to sell users of the new instance that a new way of inputting data is going to better when they’ve already been on an Epic system and don’t always “buy” that! So our data conversion now has an entire playbook they’re sharing with other systems. It was fun to hear a number of other major Epic customers asking questions and reaching out for advice as they start their own journeys.
Brett MacLaren, GVP, Healthcare Intelligence, on ML and Predictive Modeling at UGM
Coming back from the Epic User Group Meeting (UGM), one of the big things shared was their focus and roadmap on implementing predictive analytics in Epic. And you’ve undoubtedly heard B.J., Brett, and the IS executive team talk about how machine learning will be a key part of how Providence will innovate to transform healthcare.
What you may not know is that Providence has already begun piloting the use of Epic’s Predictive Modeling Framework over the past 18 months to bring pre-built models directly into Epic-based workflows. What’s even more exciting is that we’ve just signed on with Epic to leverage their Azure-based Cognitive Cloud Services and Developer Platform, which will allow us to implement Epic’s most advanced models and machine learning models developed by the Healthcare Intelligence Data Science team back into our clinical and operational Epic-based workflows.
Our goal is to begin to rapidly deploy these models over the coming year, with our own readmission risk prediction algorithm being the first model developed in-house by Healthcare Intelligence deployed within Epic to help clinicians identify and connect with patients at highest risk to prevent them from being readmitted unnecessarily. Innovating to improve care, just one of the ways Information Systems is enabling the Providence vision of health for a better world!